var

# VAR 分析 确认多个同步时间序列、频率和滞后范围，检查平稳性与样本长度。报告滞后选择、预测表现和动态响应；将格兰杰关系表述为预测信息而非因果证明。 ## Tool routing 1. Use `get_schema` to identify multiple time-aligned target series, the time column, and source table. 2. Use `query_data` only to verify frequency alignment, missing periods, stationarity preparation needs, and sample length. 3. Use `run_analysis` with `analysis_name="Time_Series_VAR"` for the actual VAR computation. 4. Use `generate_chart` on forecast, lag, or response result tables after `run_analysis` succeeds. ## Implementation reference - Tool entry: `agent/tools/business/data.py::_tool_run_analysis` - Analysis registry: `Function/Analyze/registry.py` - Analysis implementation: `Function/Analyze/Time_Series_VAR/analyze.py` - Chart implementation: `Function/Charts_generation/chart_generate.py`